您的位置：首页 > 其它

Spark远程调试配置，在IDEA中的配置

2017-07-09 14:36 429 查看
关于Spark集群部署参考：http://blog.csdn.net/tototuzuoquan/article/details/74481570

一、Spark远程调试配置：

#调试Master，在master节点的spark-env.sh中添加SPARK_MASTER_OPTS变量
export SPARK_MASTER_OPTS="-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=10000"
#启动Master
sbin/start-master.sh

#调试Worker，在worker节点的spark-env.sh中添加SPARK_WORKER_OPTS变量
export SPARK_WORKER_OPTS="-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=10001"
#启动Worker
sbin/start-slave.sh 1 spark://hadoop1:7077

#调试spark-submit + app
bin/spark-submit --class cn.itcast.spark.WordCount --master spark://hadoop1:7077 --driver-java-options "-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=10002" /root/wc.jar hdfs://mycluster/wordcount/input/2.txt hdfs://mycluster/out2

#调试spark-submit + app + executor
bin/spark-submit --class cn.itcast.spark.WordCount --master spark://hadoop1:7077 --conf "spark.executor.extraJavaOptions=-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=10003" --driver-java-options "-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=10002" /root/wc.jar hdfs://mycluster/wordcount/input/2.txt hdfs://mycluster/out2


二、编写程序进行调试



接着：

内容来自用户分享和网络整理，不保证内容的准确性，如有侵权内容，可联系管理员处理 点击这里给我发消息
标签： 
相关文章推荐
新的分享
章节导航